Posts

Explaining chi-square is easier when your observed data equals 100 (here, the US Senate)

Smart's "The differences in how CNN MSNBC & FOX cover the news"

NYT's "You Draw It" series

Johnson's "The reasons we don’t study gun violence the same way we study infections"

The Onion's "Study: Giving Away “I Voted” Burger Instead Of Sticker Would Increase Voter Turnout By 80%"

CNN, exit polls, and chi-square examples.

Pew Research's "Growing Ideological Consistency"

How NOT to interpret confidence intervals/margins of error: Feel the Bern edition

Aschwanden's "Science is broken, it is just a hell of a lot harder than we give it credit for"

Scott Ketter's "Methods can matter: Where web surveys produce different results than phone interviews"

Philip Bump's "How closely do members of congress align with the politics of their district? Pretty darn close."

Mara Liasson's "The challenges behind accurate opinion polls"

Washington Post's "What your beer says about your politics"

Time's "Can Time predict your politics?" by Jonathan Haidt and Chris Wilson

US News's "Poll: 78 Percent of Young Women Approve of Weiner"

Statistics and Pennsylvania's Voter ID Law

Lesson plan: Teaching margin of error and confidence intervals via political polling